Dynamic Economic Dispatch Considering Wind Based on Adaptive Crisscross Optimization

摘要

Due to the characteristic of randomness and volatility of the wind, broad-scale wind farm connected makes the economic dispatch of power systems more complicated. Since the crisscross optimization algorithm has no mutation operation, it is simple comparatively for the evolution method, to avoid the deficiency of the unitary evolution operation, the horizontal crossover strategy is improved. It is no longer the two paired individuals, but the two paired individuals and the global optimal individual implement horizontal crossover operation. And the adaptive strategy of parameter with learning capability is put forward to better balance the global exploration and local exploitation. At the same time, a heuristic constraint processing method is proposed to effectively dealing with the constraints. A classic 5-machine system is proposed to testify the raised algorithm, the simulation results reveal that the algorithm possesses good convergence performance, moreover, it is an effective strategy for dealing with dynamic economic dispatching considering the wind power integration.